Leaderboard Neuron Segmentation
Results for the neuron segmentation category, averaged over all samples.
Group | Submission | CREMI score | VOI split | VOI merge | ARAND |
---|---|---|---|---|---|
JRC | MTLR | 0.269 | 0.395 | 0.130 | 0.138 |
PCH | UNet_mis | 0.272 | 0.453 | 0.113 | 0.131 |
PCH | interp_a | 0.274 | 0.472 | 0.113 | 0.129 |
PCH | interp | 0.275 | 0.473 | 0.114 | 0.129 |
JRC | MALAMCv2 | 0.276 | 0.490 | 0.089 | 0.132 |
IAL | CMaskMC2 | 0.276 | 0.348 | 0.152 | 0.157 |
PCH | sff_aug | 0.277 | 0.471 | 0.118 | 0.130 |
PCH | UNet_inp | 0.277 | 0.438 | 0.131 | 0.137 |
PCH | sff_a | 0.277 | 0.473 | 0.119 | 0.131 |
IAL | CMaskSP4 | 0.280 | 0.371 | 0.159 | 0.149 |
PCH | UNet_no | 0.285 | 0.475 | 0.129 | 0.135 |
JRC | MALA v2 | 0.286 | 0.479 | 0.127 | 0.135 |
VIDAR | MALAv2 | 0.286 | 0.479 | 0.127 | 0.135 |
PCH | UNet_aut | 0.286 | 0.479 | 0.127 | 0.135 |
JRC | MALALMC2 | 0.294 | 0.400 | 0.168 | 0.154 |
JRC | MALAMCv3 | 0.300 | 0.584 | 0.062 | 0.140 |
IAL | CMaskMC | 0.305 | 0.341 | 0.175 | 0.184 |
PCH | UNet_dip | 0.310 | 0.501 | 0.158 | 0.146 |
PCH | UNet_dim | 0.312 | 0.513 | 0.180 | 0.141 |
IAL | CMaskMWS | 0.314 | 0.361 | 0.162 | 0.196 |
IAL | spUNetMC | 0.317 | 0.519 | 0.125 | 0.156 |
IAL | CMaskSP1 | 0.317 | 0.360 | 0.186 | 0.187 |
JRC | MALAMC | 0.317 | 0.497 | 0.170 | 0.152 |
JRC | MTLSD_L | 0.318 | 0.386 | 0.153 | 0.190 |
IAL | UnetLRLC | 0.325 | 0.463 | 0.188 | 0.164 |
Legend
- CREMI score
- The geometric mean of (VOI split + VOI merge) and ARAND.
- VOI split and merge
- The Variation of Information between a segmentation X and ground truth Y. The split and merge parts correspond to the conditional entropies H(X|Y) and H(Y|X), respectively.
- ARAND
- The Adapted Rand Error, i.e., 1.0 - Rand F-Score.
For each value, lower is better.
Leaderboard Synaptic Cleft Detection
Results for the synaptic cleft detection category, averaged over all samples.
Group | Submission | CREMI score | FP | FN | 1 - F-score | ADGT | ADF |
---|---|---|---|---|---|---|---|
SDG | PyTC20 | 65.68 | 167107.0 | 6190.0 | 0.196 | 90.36 | 41.00 |
3DEM | All_A | 76.12 | 157692.7 | 6808.7 | 0.256 | 130.59 | 21.66 |
3DEM | BesA0.20 | 60.04 | 121311.3 | 7529.0 | 0.182 | 92.91 | 27.17 |
3DEM | BesA225 | 59.34 | 120053.7 | 7534.0 | 0.177 | 90.88 | 27.80 |
CleftKing | CleABC1 | 58.02 | 130521.0 | 7637.3 | 0.179 | 87.11 | 28.94 |
DIVE | MixUNet3 | 59.11 | 125333.0 | 7696.0 | 0.180 | 89.68 | 28.54 |
DIVE | MixUNet4 | 59.03 | 122122.0 | 7761.3 | 0.177 | 89.35 | 28.71 |
DIVE | MixUNet | 57.91 | 125220.0 | 7920.0 | 0.178 | 86.57 | 29.25 |
DIVE | Aug-UNet | 57.89 | 123985.7 | 7992.0 | 0.177 | 86.45 | 29.32 |
DIVE | CleftNet | 57.73 | 116095.3 | 8004.3 | 0.169 | 85.60 | 29.87 |
SDG | PyTC20-1 | 67.97 | 131489.3 | 8699.0 | 0.167 | 84.22 | 51.73 |
VCG | FgSm0808 | 57.34 | 75120.7 | 9109.7 | 0.107 | 72.74 | 41.94 |
JRC | DTU-2 | 67.56 | 70761.3 | 10069.3 | 0.123 | 109.67 | 25.46 |
CleftKing | CleABC2 | 59.47 | 110518.3 | 10494.7 | 0.170 | 88.88 | 30.05 |
3DEM | Part_A | 65.43 | 112964.7 | 10645.0 | 0.174 | 96.87 | 34.00 |
3DEM | ABC_BC1 | 61.72 | 114005.0 | 10670.3 | 0.170 | 76.99 | 46.46 |
CleftKing | CleABC3 | 59.10 | 106917.7 | 10746.3 | 0.165 | 87.22 | 30.99 |
3DEM | ABC_BC2 | 61.70 | 110946.0 | 10787.3 | 0.168 | 76.67 | 46.73 |
3DEM | ABC_BC | 62.21 | 99221.7 | 10981.0 | 0.151 | 75.79 | 48.63 |
I2I | SparSep | 66.76 | 151781.7 | 11350.3 | 0.188 | 87.35 | 46.17 |
VCG | FgUPlus8 | 58.66 | 65345.7 | 11887.0 | 0.101 | 70.36 | 46.96 |
DIVE | CleftC5 | 65.75 | 125395.7 | 11906.7 | 0.181 | 84.10 | 47.41 |
SDG | Synap0.0 | 118.10 | 193580.0 | 12504.0 | 0.270 | 185.62 | 50.58 |
SDG | SynapX.0 | 118.10 | 193580.0 | 12504.0 | 0.270 | 185.62 | 50.58 |
CMM | UNet50 | 69.31 | 65762.0 | 12634.7 | 0.139 | 97.45 | 41.17 |
Legend
- CREMI score
- The mean of ADGT and ADF. We are not including the F-Score for now, as our current way of computing it can lead to unfair comparison. We are working on a more robust measure and will update the results accordingly.
- FP, FN, and F-Score
- The False Positives, False Negatives, and the resulting F-Score in the clefts detection volume. See metrics for details.
- ADGT
- The average distance of any found cleft voxel to the closest ground truth cleft voxel.
- ADF
- The average distance of any ground truth cleft voxel to the closest found cleft voxel.
For each value, lower is better (F-Score shown as 1 - F-Score).
Leaderboard Synaptic Partner Identification
Results for the synaptic partner identification category, averaged over all samples.
Group | Submission | CREMI score | FP | FN |
---|---|---|---|---|
NO2 | lr_affin | 0.567 | 118.333 | 450.000 |
DIVE | PTR_V2 | 0.453 | 162.667 | 333.667 |
NO2 | lr_balan | 0.447 | 175.333 | 314.000 |
HCBS | PrnTrn66 | 0.465 | 178.667 | 322.333 |
HCBS | Tr66t-01 | 0.469 | 182.667 | 318.667 |
IAL | PSP_full | 0.464 | 187.333 | 310.000 |
HCBS | Tr66comb | 0.451 | 219.000 | 292.333 |
HCBS | Tr66_80K | 0.449 | 223.000 | 286.667 |
AnonumoysGroup | PrTrn66 | 0.620 | 238.000 | 451.667 |
IAL | PSP_unar | 0.461 | 266.667 | 281.000 |
PNI | asyn_at1 | 0.490 | 274.333 | 314.667 |
PNI | asyn_at0 | 0.468 | 293.333 | 297.000 |
PNI | asyn_ori | 0.493 | 310.000 | 302.333 |
PNI | asyn_mod | 0.423 | 367.667 | 262.333 |
- 14 items
Legend
- CREMI score
- 1 - F-Score of the FP and FN.
- FP, FN
- The False Positives and False Negatives synaptic partner pairs. See metrics for details.
For each value, lower is better.